In my previous blog posts, I always talked about my setup but never showed a completed diagram. In the above image, you can see everything that I am running on my 6 node Raspberry Pi cluster. All of the applications above are running in Docker containers managed by PiCluster except for Gluster.
I am pleased to announce PiCluster v1.7. In this release, I wanted to make PiCluster easier to use by having the Web Console handle most of the common configuration file changes. Not everyone enjoys editing json files including myself. Now let’s go over what is new in this release.
I did some updating to Cloud Explorer recently to make it work with Minio. Minio is one of many open source S3 servers available today for people to use on-premises for their personal cloud storage needs. With the added support, Minio users can take advantage of Cloud Explorer’s unique features such as performance testing, note taking, playing music, viewing images, and search.
I am pleased to announce v1.6 of PiCluster. In this release there are a few usability bugs fixed and a new feature that allows you to change the host of a running container. Having the ability to easily change where a container is running is a standard and crucial feature to expect from a container management platform. I am glad that it is finally here and let’s explore how it works!
I am pleased to announce the new version of PiCluster. In this release, users can connect to a host running an rsyslog server and the PiCluster agent to view the log drain in the PiCluster web console and run searches. This combined integration provides a single pane of glass to monitor physical hosts and Docker containers easily. Let’s take a look on how to enable this functionality.
Most people will say that 2016 was a terrible year and can’t wait for 2017. I agree that 2016 was not perfect for many people but it was a great year for linux-toys. I made this blog with the goal to influence people and drive that creative spark that we all have inside. In this blog post I will go over the website statistics and discuss a few of the blog entries that I thought were most influential for the year.
I switched to Gluster FS a while ago to provide easier container mobility across my Raspberry Pi Docker Cluster. Gluster worked great and was easy to get up and running but I had very poor performance. The average write speed was about 1 MB/s which is unacceptable for a filesystem that will undergo a lot of writes. I decided that it was time to take action and started looking at kernel parameters that could be changed.
I released PiCluster last week and wanted to show how to run the Scality S3 server with it using Docker. Scality S3 is an open-source object storage server. PiCluster is a simple and lightweight container management and orchestration framework that I wrote in Node.js. Besides running containers, PiCluster can also perform health checks on applications to ensure that a service is actually running. Before we begin, I am assuming that you already have Docker installed. Lets get started by downloading PiCluster.
I was always fascinated with distributed filesystems and wanted to learn more about Gluster since it is becoming more popular in larger open-source projects. Since I have a few Raspberry Pi’s, I thought that now is the best time to learn. This blog post will explain how to run Gluster on a two-node Raspberry Pi cluster from a Docker container.
- Two Raspberry Pi’s (rpi-1 and rpi-2)
- Running a Gluster image from a local Docker registry
- Hostnames are resolvable in /etc/hosts on both Pi’s
- Docker 1.12.x installed
My previous post was about using Cloud Explorer with the Scality S3 server. After I published that post, I thought it would be informative to go one step further and explain how I use the S3 server in homeduction (applications run at home in production). My homeduction environment consists of four Raspberry Pi’s running Docker that power this WordPress blog and many other applications . My goal is to add an S3 server to store the images for this blog and anything else that I can come up with.